Author
Listed:
- Jie Wang
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
- Sirui Zhu
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
- Jiaming Liu
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
- Xun Wang
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
- Jiarui Wang
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
- Jiayuan Xu
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
- Peiling Yao
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
- Yijie Yang
(College of Marine Sciences, Shanghai Ocean University, Hucheng Ring Road 999, Shanghai 201203, China)
Abstract
China is part of the western Pacific region, which is the source of the most frequent tropical cyclones in the world. These cause severe disasters each year, including huge economic losses and casualties. To better understand their frequency and intensity, remote sensing tropical cyclone data were obtained for the entire Northwest Pacific region for the period 1977–2018. MATLAB and ArcGIS were used to analyse the frequency and intensity of tropical cyclones and their characteristics in various regions of China. At the same time, the influence factors of tropical cyclone characteristics such as El Niño and SST were analyzed by correlation analysis and Geographical detector. The annual frequency of tropical cyclones in the Northwest Pacific showed a fluctuating state, but the overall trend was decreasing. In particular, since 1994, the overall frequency decreased significantly but rebounded in recent years, while the intensity did not change significantly. It was found that cyclone intensity is lower when the frequency is higher, and vice versa. 85% of tropical cyclones occurred in summer and autumn, with the highest intensities in autumn, when the maximum average wind speed peaks at 37 m/s. The area with the most frequent tropical cyclones was 5–20° N, 125–155° E. A total of 314 tropical cyclones arrived in China during the study period, an average of about 7.5 per year. Their frequency and intensity gradually decreased as they moved from coastal to inland areas. Both SST and El Niño are significantly related to the formation and development of tropical cyclones, and the contribution of multiple factors interaction to the variation characteristics of tropical cyclones is significantly higher than that of single factors. Understanding the characteristics of the Pacific tropical cyclones is an important step in planning disaster prevention framework.
Suggested Citation
Jie Wang & Sirui Zhu & Jiaming Liu & Xun Wang & Jiarui Wang & Jiayuan Xu & Peiling Yao & Yijie Yang, 2023.
"Frequency, Intensity and Influences of Tropical Cyclones in the Northwest Pacific and China, 1977–2018,"
Sustainability, MDPI, vol. 15(5), pages 1-18, February.
Handle:
RePEc:gam:jsusta:v:15:y:2023:i:5:p:3933-:d:1075935
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:3933-:d:1075935. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.